Village Super Market (VLGEA) Payables (2011 - 2026)
Village Super Market (VLGEA) recorded Payables of $40.71 million in fiscal Q4 2026 (quarter ended Jul 25, 2026), up 20.7% from $33.72 million a year earlier and up 4.1% from the prior quarter.
Village Super Market (VLGEA) Payables (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, Village Super Market's Payables history includes 60 quarters.
- Annual Payables has a five-year compound annual growth rate of 9.6% (FY2021 to FY2026).
- Across earlier fiscal years, Payables came in at $33.72 million in FY2025 (+15.5%), $29.18 million in FY2024 (-9.3%), $32.18 million in FY2023 (+26.7%) and $25.4 million in FY2022 (-1.3%).
- The fiscal Q4 2026 figure is the highest quarterly Payables in data going back to fiscal Q4 2011.
- On a year-over-year basis, Payables has increased for seven consecutive quarters, with growth averaging 8.6% over the last eight quarters.
- Peak year-over-year performance for Payables in the last five years was growth of 27.5% in fiscal Q1 2023, against a decline of 20.9% in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $39.1 million (Q3 2026), $37.09 million (Q2 2026) and $34.69 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 961.60 Bn | 918.03 Bn | 49.13 Bn | 78.75 Bn |
| 2 | Costco Wholesale | 451.41 Bn | 374.69 Bn | 12.19 Bn | 22.59 Bn |
| 3 | Kroger | 41.07 Bn | 27.22 Bn | 7.86 Bn | 10.78 Bn |
| 4 | Sysco | 40.11 Bn | 34.36 Bn | 4.13 Bn | 6.64 Bn |
| 5 | Dollar General | 30.55 Bn | 25.23 Bn | 3.68 Bn | 4.35 Bn |
| 6 | Caseys General Stores | 26.34 Bn | 24.34 Bn | 1.24 Bn | 853.66 Mn |
| 7 | Dollar Tree | 24.96 Bn | 21.58 Bn | 2.10 Bn | 1.63 Bn |
| 8 | US Foods Holding | 22.77 Bn | 22.57 Bn | 1.92 Bn | 2.96 Bn |
| 9 | Tractor Supply | 18.16 Bn | 17.32 Bn | 1.68 Bn | 1.76 Bn |
| 10 | Village Super Market | 654.29 Mn | 116.98 Mn | - | 40.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 25, 2026 | 40.71 Mn |
| Apr 25, 2026 | 39.10 Mn |
| Jan 24, 2026 | 37.09 Mn |
| Oct 25, 2025 | 34.69 Mn |
| Jul 26, 2025 | 33.72 Mn |
| Apr 26, 2025 | 37.92 Mn |
| Jan 25, 2025 | 35.04 Mn |
| Oct 26, 2024 | 34.17 Mn |
| Jul 27, 2024 | 29.18 Mn |
| Apr 27, 2024 | 31.44 Mn |
| Jan 27, 2024 | 33.21 Mn |
| Oct 28, 2023 | 35.71 Mn |
| Jul 29, 2023 | 32.18 Mn |
| Apr 29, 2023 | 29.53 Mn |
| Jan 28, 2023 | 26.59 Mn |
| Oct 29, 2022 | 30.69 Mn |
| Jul 30, 2022 | 25.40 Mn |
| Apr 30, 2022 | 24.75 Mn |
| Jan 29, 2022 | 23.23 Mn |
| Oct 30, 2021 | 24.07 Mn |
Village Super Market Payables API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=payables&ticker=VLGEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "ticker": "VLGEA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=payables&ticker=VLGEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();